Indian Journal of Science and Technology
DOI: 10.17485/ijst/2019/v12i45/148757
Year: 2019, Volume: 12, Issue: 45, Pages: 1-11
Original Article
Xin An1,*, Yong-Seung Ji2, Wei-ping Gu3 and Dong-Joo Kim4
1 Department of Economics and Management, Handan University, Handan, China; [email protected]
2 Department Division of Liberal Arts, Woosuk University, Wanju, South Korea; [email protected]
3 Nanjing Institute of Industry Technology, Nanjing, China; [email protected]
4 Department of Rehabilitation Studies, Woosuk University, Wanju, South Korea; [email protected]
Background/objectives: The integration of information industry and pension industry has become a new growth point for the regional economy. To achieve its deep integration, it is necessary to analyse the fusion mechanism and make scientific measures of the level of integration. This study aims to analyse the circumstances of the integration of information industry and pension industry from the practice level of industrial integration. Method/statistical analysis: Due to the wide range of the pension industry and the lack of large-scale representative enterprises, the overall industrial information collection is difficult. Therefore, the grey relational analysis method is selected to establish the fusion level measurement model. According to the 2011–2017 Statistical Yearbook of Handan city in China, eight related industries were selected as reference series, and Excel 2016 program calculation was used to complete the empirical research. Findings: According to the results, the average level of integration of eight related industries of Handan city in China is 0.74913, of which the information industry and the e-pension industry are 0.64909, ranking seventh, information industry and leasing and business services. The degree of integration is up to 0.84005. The low level of integration between the information industry and the pension industry is highly likely to impede regional economic growth. Improvement/application: In this study, the grey relational analysis showed that the level of integration between the information industry and the pension industry in China was identified, and that it was still in the early stages of integration. It also presented policy alternatives to speed up the development of industry integration in terms of consumer, market and technological improvement, and system innovation.
Keywords: Information Industry, Pension Industry, Industrial Integration, Grey Relational Analysis.
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